Shulou(Shulou.com)06/01 Report--

This article introduces the relevant knowledge of "how to realize the transfer map of Python college entrance examination". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Step 1: organize the data

Get the data interface through the browser with package grabbing tool:

Https://voice.baidu.com/api/commonkvapi?aid=gaokao&data={"migration.list":{"descId":6}}&=

The data returned is in json format

Next, we need to use python to simulate crawling data, as shown in the figure above. Finally, we need to organize the data into a dictionary format. The key of the dictionary is province, and the value of the dictionary is the top 10 provinces that candidates most want to visit. The format is as follows:

{'Qinghai': ['Qinghai', 'Beijing', 'Shaanxi', 'Jiangsu', 'Sichuan', 'Hubei', 'Shanghai', 'Gansu', 'Shandong', 'Chongqing']}

The python code to implement this process is as follows:

Import requestsimport jsonurl=' https://voice.baidu.com/api/commonkvapi?aid=gaokao&data={"migration.list":{"descId":6}}&='header = {'User-Agent':' Mozilla/5.0 (Windows NT 6.1; Win64; x64) Rv:69.0) Gecko/20100101 Firefox/69.0'} response = requests.get (url, headers=header) results=json.loads (response.text) ['data'] [' migration.list'] dict= {} for i in results: top_10= [] province=i ['province'] for m in i [' list'] [2] ['list'] [: 10]: top_10.append (m [' name']) dict [province] = top_10print (dict)

Step 2: draw the migration diagram with pyecharts

This time we use the 0.5.11 version of pyecharts.

The formula for drawing a migration map is:

From pyecharts import GeoLines, Stylestyle = Style () geo_style = style.add () citylines = GeoLines (2020 National College entrance examination Migration Map, * * style.init_style) citylines.add ('Beijing', 'Hainan'), ('Beijing', 'Heilongjiang'), ('Beijing', 'Xizang'), * * geo_style) citylines.render ()

Remember the above code. In the future, you need to draw a migration diagram and set it directly into it. Here is a detailed description of the role of the parameters:

1.style is the chart initialization configuration, such as image size, background color, title location, etc.

Introduction to add parameters of 2.style:

Is stack: whether to stack is convert:x,y axes, whether to swap is_legend_show: whether to display the legend legend_orient: column direction, with 'horizontal' (default horizontal display),' vertical' (vertical) optional legend_pos: legend position Have 'left',' center' (default) 'right' optional legend_text_size/color: legend name font size / color is_x/yaxis_show: whether to display the display interval of the x x/yaxis_interval:x/y axis label x/yaxis_min/max:x/y axis scale minimum / maximum x/yaxis_label_textsize/textcolor:x/y axis label font size / color xaxis_rotate:x axis label rotation angle is_splitline_show: Whether to display gridlines is_label_show: whether to display the label label_pos: the location of the label There are 'top' (default),' left', 'right',' bottom','inside','outside' optional label_text_color/size: tag font color / size is _ random: whether to randomly arrange color list label_color: custom label color mark_point/line: marked points / lines, default 'min',' max', 'average' is optional. You can customize marked dots and lines, such as [{'coord': [x, y],' name': 'target marked points'}]. Remember that the format is a list of mark_point/line_symbol: marked dots / lines graphics, default is' pin' (dots) There are 'circle' (circle),' rect' (square), 'roundRect' (rounded square),' triangle' (triangle), 'diamond' (diamond),' pin' (point), 'arrow' (arrow) optional mark_point/line_symbolsize: marking point / line graphic size mark_point/line_textcolor: marking point / line font color

3.citylines means to define a migration map object. You can add titles and initialize icon styles.

4.citylines.add can add tags, roadmaps, and graphic styles

The formula code generates the graph as follows:

Very basic graphics, without any style.

Set the above formula to complete this migration chart, the code is as follows:

From pyecharts import GeoLines, Stylestyle = Style (title_color= "# fff", title_pos= "center", width=1200, height=900, background_color= "# 08192D") geo_style = style.add (legend_orient= "vertical", legend_pos= "left", legend_top = "center", legend_text_color= "# fff", is_label_show=True, line_curve=0.2, line_opacity=0.6, geo_effect_symbol= "plane" Geo_effect_symbolsize=8, label_pos= "right", label_formatter= "{b}", label_text_color= "# eee", symbol_size = 0.2a, label_text_size=8, label_color= ['# 24936E]] citylines = GeoLines ("National College entrance examination Migration Map 2020" * * style.init_style) for city in list (dict.keys ()): line_= [] for i in dict [city]: line_.append (tuple ((city,i) citylines.add ("{0}" .format (city), line_,**geo_style) citylines.render ()

It looks a bit messy, but you can select a single province by clicking the left tab, taking Henan as an example:

Through the analysis, it is found that most of the candidates from various places want to stay in the province. finally, I would like to rank the number of destination provinces and cities of these migration maps, the code is as follows:

Re_list= [] for city in list (dict.keys ()): re_list+= [city] re_dict= {} for i in list (set (re_list)): re_ [I] = re_list.count (I) attr=sorted (re_dict.items (), key=lambda KRV k [1], reverse=True) chart = Bar ("favorite provinces ranking", * * style.init_style) chart.add ("", [I [0] for i in attr]) [I [1] for i in attr], is_stack=True,xaxis_rotate=45) chart.render ('favorite provinces rank .html') "how to realize the transfer Map of Python College entrance examination" is introduced here. Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.